GA_Matlab
所属分类：人工智能/神经网络/深度学习
开发工具：matlab
文件大小：182KB
下载次数：55
上传日期：2008-05-12 11:11:48
上 传 者：
starboy_2nd
说明： 在工业工程中,许多最优化问题性质十分复杂,很难用传统的优化方法来求解.自1960年以来,人们对求解这类难解问题日益增加.一种模仿生物自然进化过程的、被称为“进化算法（evolutionary algorithm）”的随机优化技术在解这类优化难题中显示了优于传统优化算法的性能。目前，进化算法主要包括三个研究领域：遗传算法、进化规划和进化策略。其中遗传算法是迄今为止进化算法中应用最多、比较成熟、广为人知的算法。
(In industrial projects, many of the optimization problem very complex nature, it is difficult using traditional optimization methods to solve. Since 1960, people have to solve such difficult problems is growing. A mimic natural biological evolution, and was said as )
文件列表:
遗传算法及其Matlab实现\ga\adjswapMutation.m (1419, 1998-04-14)
遗传算法及其Matlab实现\ga\arithXover.m (1487, 1998-04-15)
遗传算法及其Matlab实现\ga\b2f.m (1495, 1998-04-14)
遗传算法及其Matlab实现\ga\binaryExample.m (2080, 1998-04-14)
遗传算法及其Matlab实现\ga\binaryMutation.m (1504, 1998-04-15)
遗传算法及其Matlab实现\ga\boundaryMutation.m (1639, 1998-04-14)
遗传算法及其Matlab实现\ga\calcbits.m (1382, 1998-04-14)
遗传算法及其Matlab实现\ga\Contents.m (4761, 1998-04-17)
遗传算法及其Matlab实现\ga\coranaEval.m (1451, 1998-04-14)
遗传算法及其Matlab实现\ga\coranaFeval.m (1538, 1998-04-14)
遗传算法及其Matlab实现\ga\coranaMin.m (1222, 1998-04-14)
遗传算法及其Matlab实现\ga\cyclicXover.m (1654, 1998-04-14)
遗传算法及其Matlab实现\ga\delta.m (1471, 1998-04-14)
遗传算法及其Matlab实现\ga\dists.m (6837, 1998-04-28)
遗传算法及其Matlab实现\ga\EER.m (1586, 1998-04-14)
遗传算法及其Matlab实现\ga\enhancederXover.m (2348, 1998-04-14)
遗传算法及其Matlab实现\ga\erXover.m (2118, 1998-04-14)
遗传算法及其Matlab实现\ga\f2b.m (1501, 1998-04-14)
遗传算法及其Matlab实现\ga\floatExample.m (2322, 1998-04-14)
遗传算法及其Matlab实现\ga\floatGradExample.m (2137, 1998-04-14)
遗传算法及其Matlab实现\ga\ga.m (10805, 1998-04-14)
遗传算法及其Matlab实现\ga\gademo.m (4253, 2001-05-27)
遗传算法及其Matlab实现\ga\gademo1.m (3887, 1998-04-14)
遗传算法及其Matlab实现\ga\gademo1eval1.asv (1277, 2004-03-01)
遗传算法及其Matlab实现\ga\gademo1eval1.m (1275, 1998-04-14)
遗传算法及其Matlab实现\ga\gademo2.m (2840, 1998-09-08)
遗传算法及其Matlab实现\ga\gademo3.m (6262, 1998-04-14)
遗传算法及其Matlab实现\ga\gaMichEval.m (193, 1998-04-14)
遗传算法及其Matlab实现\ga\gaotv5.ps (132728, 1998-09-08)
遗传算法及其Matlab实现\ga\gaZBGrad.m (174, 1998-04-14)
遗传算法及其Matlab实现\ga\gaZBGradEval.m (684, 1998-04-14)
遗传算法及其Matlab实现\ga\heuristicXover.m (2136, 1998-04-14)
遗传算法及其Matlab实现\ga\initializega.m (1177, 2003-03-20)
遗传算法及其Matlab实现\ga\initializeoga.m (1561, 1998-04-14)
遗传算法及其Matlab实现\ga\inversionMutation.m (1555, 1998-04-14)
遗传算法及其Matlab实现\ga\linerorderXover.m (1850, 1998-04-14)
遗传算法及其Matlab实现\ga\maxGenTerm.m (1345, 1998-04-14)
遗传算法及其Matlab实现\ga\multiNonUnifMutation.m (1991, 1998-04-14)
遗传算法及其Matlab实现\ga\nonUnifMutation.m (2190, 1998-04-15)
遗传算法及其Matlab实现\ga\normGeomSelect.m (2308, 1998-04-14)
... ...
This directory contains the Genetic Algorithm Optimization Toolbox for
Matlab 5.
To use this, if you are local to NCSU and have AFS access to this
directory, simply extend the matlab path using the following command.
You can also place this command in a file called startup.m. Everytime
you start Matlab in the directory containing this file, the path will
always be extended.
>>path(path,'/afs/eos/service/ie/research/kay_res/GAToolBox/gaot');
Otherwise, install the .m files into a directory named gaot and extend
the matlab path to that directory. The compressed tar archive and the
zip file should automatically create the gaot directory for you.
The companion paper describing this toolbox is included here as
gaotv5.ps. The paper, the three demo files, gademo1.m gademo2.m
gademo3.m, and four example scripts, binaryExample, floatExample,
floatGradExample, and orderbasedExample, should be sufficient
explanation of this toolbox. For any questions, comments, suggestions
send mail to jjoine@eos.ncsu.edu.
For a list of the files in the tool box get help on gaot.
Thanks for trying the toolbox.
近期下载者：
相关文件：
收藏者：